Combined discrete gaussian analysis of MICP and NMR T2 distributions of multi-modal carbonate rocks

A method, comprising:

• generating a T2 distribution of nuclear magnetic resonance data from a multi-modal carbonate rock sample;
• generating a capillary pressure distribution from mercury injection capillary pressure testing of a representative rock sample;
• decomposing the T2 distribution using Gaussian fitting to identify at least one pore system in the multi-modal carbonate rock sample, the at least one pore system comprising a first pore system;
• overlapping small ends of the Gaussian fitted T2 distribution and the capillary pressure distribution for the first pore system;
• and
• calculating a scaling factor for the first pore system.

A method, comprising:

• generating a T2 distribution of nuclear magnetic resonance data from a multi-modal porous rock sample;
• generating a capillary pressure distribution from mercury injection capillary pressure testing of a representative rock sample;
• decomposing the T2 distribution using Gaussian fitting to identify multiple pore systems in the multi-modal porous rock sample;
• overlapping small ends of the Gaussian fitted T2 distribution and a Gaussian fit of the capillary pressure distribution for each of the identified pore systems;
• matching peaks of the Gaussian fitted T2 distribution and the Gaussian fitted capillary pressure distribution while the overlapped small ends are fixed;
• determining a surface relaxivity for each of the identified pore systems based on the overlapped small ends of the distributions;
• determining a scaling factor for each of the identified pore systems based on the surface relaxivity and the matched peaks of the distributions;
• and
• determining a pore body-throat ratio of each of the identified pore system based on the scaling factor and the surface relaxivity.